Kishore Chimmula, Soumen Sen, Siva Ram KrishnaVadali
{"title":"描述作为位置估计传感器的相机的复合噪声","authors":"Kishore Chimmula, Soumen Sen, Siva Ram KrishnaVadali","doi":"10.1109/CMI.2016.7413782","DOIUrl":null,"url":null,"abstract":"This article presents the characterization of inherent composite noise of a camera based position measurement system. Such an examination is needed to use a camera system as the position measurement sensor for direct implementation in Kalman filter based positional trajectory estimation of moving objects. Time and frequency domain analysis are carried out to characterize the noise in units of measured position values. The qualification of the noise to be White and Gaussian (WGN) makes it possible to use the position measurements for optimal estimation in a Kalman filter like estimation procedure. Further the observation is justified with an experiment of position tracking and subsequent trajectory estimation of a ball thrown under gravity with the help of linear kinematic model.","PeriodicalId":244262,"journal":{"name":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Characterizing the composite noise of a camera used as a sensor for position estimation\",\"authors\":\"Kishore Chimmula, Soumen Sen, Siva Ram KrishnaVadali\",\"doi\":\"10.1109/CMI.2016.7413782\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents the characterization of inherent composite noise of a camera based position measurement system. Such an examination is needed to use a camera system as the position measurement sensor for direct implementation in Kalman filter based positional trajectory estimation of moving objects. Time and frequency domain analysis are carried out to characterize the noise in units of measured position values. The qualification of the noise to be White and Gaussian (WGN) makes it possible to use the position measurements for optimal estimation in a Kalman filter like estimation procedure. Further the observation is justified with an experiment of position tracking and subsequent trajectory estimation of a ball thrown under gravity with the help of linear kinematic model.\",\"PeriodicalId\":244262,\"journal\":{\"name\":\"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)\",\"volume\":\"133 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CMI.2016.7413782\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMI.2016.7413782","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Characterizing the composite noise of a camera used as a sensor for position estimation
This article presents the characterization of inherent composite noise of a camera based position measurement system. Such an examination is needed to use a camera system as the position measurement sensor for direct implementation in Kalman filter based positional trajectory estimation of moving objects. Time and frequency domain analysis are carried out to characterize the noise in units of measured position values. The qualification of the noise to be White and Gaussian (WGN) makes it possible to use the position measurements for optimal estimation in a Kalman filter like estimation procedure. Further the observation is justified with an experiment of position tracking and subsequent trajectory estimation of a ball thrown under gravity with the help of linear kinematic model.